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Applied and Environmental Microbiology, April 2006, p. 2829-2836, Vol. 72, No. 4
0099-2240/06/$08.00+0 doi:10.1128/AEM.72.4.2829-2836.2006
Pre-harvest Food Safety and Enteric Diseases Research Unit, National Animal Disease Center,1 Swine Odor and Manure Management Research Unit, National Soil Tilth Laboratory, Ames, Iowa 500102
Received 21 December 2005/ Accepted 15 February 2006
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Gastric acidity is a major barrier to colonization and infection of the gastrointestinal tract by microorganisms and is a first line of defense against microbial pathogens that infect their host via the oral route. The gastric acidity can be as low as pH 1.5 (42). Furthermore, several organic acids can be present in the stomach, including lactic, acetic, propionic, and butyric acids (31, 32, 41). Therefore, a successful food-borne pathogen must be able to protect itself from the deleterious conditions in the stomach environment. Many microorganisms, including Salmonella enterica serovar Typhimurium and Escherichia coli O157:H7, have been shown to possess adaptive systems to protect against acid stress (3, 19). Several gene products have been shown to be important for the adaptative response of Salmonella to acid stress, including RpoS, an alternate sigma factor involved in stationary-phase physiology and stress responses; PhoP, a response regulator important for macrophage survival and resistance to antimicrobial peptides; and Fur, a regulator of iron metabolism (3). The acid tolerance response (ATR) of serovar Typhimurium is able to protect against two types of acid stress, organic (weak acids) and inorganic (low pH) (4, 6). Regulators of the acid tolerance response that are involved in protection against these two types of acid stress have been identified in serovar Typhimurium, with RpoS and Fur protecting against organic acid stress and PhoP and RpoS protecting against inorganic acid stress (6). The target genes that are controlled by each of these regulators for the protection against acid stress remain to be identified.
To date, most studies that have analyzed the responses of microorganisms to acid stress have been performed in vitro using various minimal or complex media. The acid protection observed for bacteria during acid challenge can be medium dependent. A synthetic gastric fluid has been assembled containing pepsin, lysozyme, and bile to mimic the stomach environment (9). The synthetic gastric fluid has been used by multiple investigators to determine the acid tolerance/resistance of bacterial pathogens in this simulated stomach environment (2, 14, 21). Cotter et al. demonstrated that Listeria monocytogenes is more sensitive to challenge in an ex vivo porcine gastric fluid (pH 2.5) than in the synthetic gastric fluid (pH 2.5), suggesting that the porcine stomach contains additional components that result in stress which are not present in the synthetic fluid (14).
Signature-tagged mutagenesis (STM) is a functional genomics technique that utilizes transposons containing unique sequences (signatures) to identify individual mutants within a complex pool of mutants (25). STM analysis evaluates the transposon tags that are not recovered from an experimental challenge model to identify transposon mutants that are unable to survive the chosen environmental condition. The gene into which the transposon has inserted is identified by nucleotide sequencing of the transposon/bacterial DNA junction. Since its development a decade ago, STM has been performed with 31 bacterial species and has identified more than 1,700 bacterial genes with a role in virulence (39). Most STM studies have utilized in vivo systems for screening transposon banks; however, in principle, any environmental condition that exerts a negative selection on microorganisms can be used for STM analysis.
We developed an ex vivo swine stomach contents (SSC) assay to screen serovar Typhimurium signature-tagged transposon mutants to identify genes involved in protection in the gastric environment. The acid tolerance response was determined for the individual mutants and compared to the phenotype in the SSC assay. Characterization of the SSC indicates that the lethal effect is pH dependent but that low pH is not the only important component for the damaging effects towards Salmonella.
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TABLE 1. Salmonella enterica serovar Typhimurium strains
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TABLE 2. Characterization of signature-tagged mutants
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Generating the signature tag sequences.
Following a similar design described by Hensel et al. (25), a degenerate 118-base oligonucleotide (oSBM 53) containing a 60-base variable region was constructed with restriction enzyme (BamHI, KpnI, and HindIII) sites incorporated into the flanking constant regions for cloning purposes: 5'-CTAGGATCCTGGTACCGTCTGATAAGCTT[MN]30AAGCTTGGTTAGAGGATCCGGGTACCATG-3' (M = A or C; N = A, G, C, or T; restriction sites are underlined) (Oligos Etc., Wilsonville, OR). This degenerate oligonucleotide has the ability to produce
1 x 1027 different sequence molecules. A double-stranded fragment was produced by 30 rounds of PCR using oSBM 44 (5'-CTAGGATCCTGGTACCG-3') and oSBM 45 (5'-CATGGTACCCGGATCCTC-3'). The STM fragments were digested with KpnI, cloned into the suicide vector pUTminiTn5Km2 (16), and transformed into CC118
pir (26). To select for optimal tag sequences, the following procedures were performed on 125 of the resulting plasmids to screen for signature tags that exhibited strong signals in Southern hybridization and did not cross-hybridize: the signature tag sequences were PCR amplified with oSBM 46 (5'-GGTACCGTCTGATAAGC-3') and oSBM 47 (5'-GGATCCTCTAACCAAGC-3'), digested with HindIII to remove the constant regions, and blotted to Zeta probe membranes (Bio-Rad Laboratories), and the nylon membranes were probed with various combinations of the resulting fragments by Southern hybridization using the AlkPhos direct labeling and detection system with CDP-Star (Amersham Biosciences, Piscataway, NJ). Forty-eight of the signature tag sequences were selected to create the 47 mutants of each STM pool and the internal control present in each STM pool.
STM bank construction.
The plasmids containing the 47 signature tags were separately transformed into SM10
pir (33) and then independently conjugated into a nalidixic acid-resistant strain of virulent serovar Typhimurium UK1 for random DNA mutagenesis. Serovar Typhimurium mutants (1,598) were stocked individually in microtiter dishes (LB containing 20% glycerol) to create 34 STM pools, each containing 47 signature-tagged mutants. To serve as an internal control for each STM pool, a signature-tagged rpoS mutant (SB 29) was constructed to occupy the "A1" position of each STM pool.
Screening the STM banks in the SSC assay.
To prepare the serovar Typhimurium STM pools for challenge in the swine stomach contents assay, 2 µl of stock culture from each of the 48 mutants in a pool was transferred to 9.9 ml of LB medium containing nalidixic acid and kanamycin for overnight growth. A 1:100 dilution of the overnight culture was prepared in 3 ml of EG minimal medium with nalidixic acid and kanamycin and grown at 37°C, 180 rpm. At an optical density at 600 nm (OD600) of 0.4 (
2 x 108 CFU/ml), a 2-ml sample of the culture was pelleted and frozen to represent the input pool. Additionally, 200 µl of the culture was pelleted and resuspended in an equal volume of EG, pH 4.4, spent medium for 1 h at 37°C for acid adaptation. The adapted cells were pelleted and resuspended in 200 µl of swine stomach contents for the first SSC challenge. Immediately, a 10-µl aliquot was serially diluted and plated on selective LB media to determine the CFU/ml at T0. After 10 min of challenge in the SSC at 37°C, a 10-µl aliquot of the sample was serially diluted and plated on selective LB media to determine viable counts at T10 min. Simultaneously, 100 µl of the challenged sample was added to 1 ml of EG medium, pH 7.0. Following brief centrifugation, the cell pellet was resuspended in 10 ml of EG medium containing nalidixic acid and kanamycin for overnight growth. A second round of challenge was performed on the surviving mutants of the STM pool as described above. Following overnight growth of the surviving STM mutants from the second challenge, a 1-ml culture was pelleted and frozen as the output pool.
PCR amplification of the signature tags and dot blot analysis.
The cell pellets from the input and output STM pools were each resuspended in 1 ml of H2O, and 2 µl of each served as a template for PCR amplification of the signature tag sequences using oSBM 46 and 47. Cycling conditions were as follows: 95°C for 2 min, 40 cycles of 94°C for 30 s, 51°C for 30 s, and 72°C for 5 s, followed by a final extension for 10 min at 72°C. The PCR products were digested with HindIII to remove the constant regions, and the 62-bp signature tags were agarose gel extracted (Quantum Prep Freeze 'N Squeeze DNA gel extraction spin columns; Bio-Rad Laboratories, Hercules, CA). One hundred nanograms of DNA was labeled to produce the input and output pool probes for Southern hybridization using the AlkPhos direct labeling and detection systems with CDP-Star (Amersham Biosciences). To create the nylon membranes for Southern hybridization, the 48 signature tag DNA sequences represented in each of the 34 STM pools were prepared by PCR amplification and purification. Following quantitation (GeneQuant pro; Amersham Pharmacia Biosciences), 10 ng of each of the 62-bp PCR-amplified tags was transferred to Zeta probe membranes using a Bio-Dot apparatus (Bio-Rad Laboratories). Signal detection was performed using the AlkPhos direct labeling and detection systems with CDP-Star (Amersham Biosciences) and a ChemiDoc XRS chemiluminescence detection system with Quantity One software (Bio-Rad Laboratories).
Identification of the transposon insertion sites and DNA sequence analysis.
Chromosomal DNA from the 19 identified STM mutants was extracted (DNeasy tissue kit; QIAGEN, Valencia, CA), digested with EcoRI (Invitrogen, Carlsbad, CA), and electrophoresed on a 1% agarose gel. DNA fragments 1.8 kb and larger were gel extracted (Quantum Prep Freeze 'N Squeeze DNA gel extraction spin column; Bio-Rad Laboratories) and ligated into the pBluescript II SK vector (Stratagene, La Jolla, CA) treated with EcoRI and alkaline phosphatase. The ligations were electroporated into DH5
(Invitrogen), and transformants were selected on LB containing ampicillin and kanamycin. Plasmids were isolated using a QIAprep spin miniprep kit (QIAGEN, Valencia, CA) and sequenced by dideoxy chain termination using a primer specific to the O end of the mini-Tn5Km2 transposon sequence (oSBI 116; 5'-GCATGCAAGCTTCGGCC-3') and an ABI 3700 DNA analyzer (Applied Biosystems Inc., Foster City, CA) at the Iowa State University DNA Sequencing and Synthesis Facility (Ames, IA). DNA sequence similarity searches were conducted using the Basic Local Alignment Search Tool (BLAST) from the National Center for Biotechnology Information (1).
SSC assay and ATR analysis of the identified signature-tagged mutants.
Prior to testing the signature-tagged mutants individually in the SSC and ATR assays, each mutation was moved to a clean serovar Typhimurium UK1 background by P22 phage transduction and tested for kanamycin resistance (and nalidixic acid sensitivity). For both assays, the mutants and the wild-type strain were grown overnight in EG medium with the appropriate antibiotics at 37°C. A 1:100 dilution in EG medium was prepared from the overnight culture and grown to an OD600 of 0.4. The cultures were adapted for 1 h at pH 4.4, briefly centrifuged, and resuspended in an equal volume of either swine stomach contents for a 10-min challenge (SSC assay) or EG, pH 3.0, spent medium for a 90-min challenge (ATR assay). The percent survival for each strain was calculated by dividing the number of CFU at the challenge time point (10 or 90 min) by the number of CFU immediately after resuspension of the bacteria in the challenging agents and then multiplying by 100. The data are presented as the ratio of the percent survival of the mutant divided by the percent survival of the wild-type strain; therefore, mutants with a ratio below 1 did not survive as well as the wild-type strain, and mutants with a ratio above 1 survived better than the wild-type strain. For all assays, the data represent the means of experiments performed in triplicate and the error bars represent the standard deviations.
Survival assays.
The following challenging agents were created prior to performing additional survival assays on serovar Typhimurium.
The pH of the SSC was raised to the indicated pHs using a small volume of NaOH (less than a 0.01 dilution). Following 2 h of incubation at pH 7.0, a portion of the SSC, pH 7.0, was lowered to pH 3.87 by HCl (for irreversible alkaline denaturation).
Heat inactivation of the SSC was performed at 75°C for 30 min and by autoclaving at 121°C, 15 lb/in2, 15 min.
The SSC was subjected to filtration using consecutive Centricon centrifugal filter units with 30-, 10-, and 3-kDa cutoffs (Millipore, Billerica, MA). With little volume loss of sample in the retentate, an aliquot of each filtrate from the 30-, 10-, and 3-kDa-cutoff filter units was used to challenge STM pool A containing SB 110, SB 104, SB 156, SB 114, SB 113, SB 117, SB 116, SB 126, SB 134, and SB 135 as well as the rpoS signature-tagged mutant (SB 29) and five mutants that were not sensitive to challenge in the SSC assay (SB 271 [17C1], SB 272 [21H5], SB 273 [24A5], SB 274 [27F3], and SB 275 [35A3]).
Synthetic gastric fluid was prepared as previously described (9), containing proteose peptone (8.3 g/liter), D-glucose (3.5 g/liter), NaCl (2.05 g/liter), KH2PO4 (0.6 g/liter), CaCl2 (0.11 g/liter), KCl (0.37 g/liter), bile (0.05 g/liter), lysozyme (0.1 g/liter), and pepsin (13.3 mg/liter) at pH 3.87. Lactic acid was added to a final concentration of 5, 10, or 20 mM, lactoferrin at 20 µM, and lactoferricin at 2 µM, and the assay was performed with or without pepsin. All chemical compounds listed above were purchased from Sigma-Aldrich (St. Louis, MO).
Gas chromatography for volatile fatty acid analysis.
Gas chromatography of butyl esters was used to determine the concentration of volatile fatty acids, according to the basic concepts of Salanitro and Muirhead (40). For each sample, 500 µl of swine stomach contents was combined with 200 µl of 200 mM heptanoic acid internal standard and 50 µl of 8% NaOH. Sample and standard tubes were shell frozen in dry ice-cooled acetone and then dried overnight using a Virtis Freezemobile lyophilizer (Gardiner, NY). Butylation was accomplished by adding 300 µl of butylation fluid (100 ml butanol plus 25 ml fresh sulfuric acid) and 800 µl chloroform. Samples were immediately capped, vortexed, and placed in an 80°C heating block for 2 h with occasional mixing. Following cooling to room temperature, trifluoroacetic anhydride (300 µl) was added and the mixture incubated at room temperature for 1 h. Samples were washed in triplicate with 1 ml of water (to remove residual salts) by removing the aqueous layer with vacuum after each wash. A 1-µl aliquot of the chloroform layer was analyzed by gas chromatography on an Agilent 6890N gas chromatograph fitted with an Agilent 19095J-121 capillary column (10 m by 530 µm) HP-5, 5% phenylmethyl siloxane (Palo Alto, CA). Nitrogen served as the carrier gas, with a flow rate of 6.0 ml/min. The oven temperature program was initiated at 50°C for 3.5 min followed by a rise to 180°C at 8°C/min. Oven temperature was then held at 180°C for 0.5 min followed by an increase to 280°C at a rate of 30°C/min. The oven temperature was held at 280°C for 10 min for a total run time of 33.6 min. Front inlet and flame ionization detector temperatures were 50°C and 270°C, respectively.
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FIG. 1. Survival of the rpoS, phoP, and fur mutants in the SSC assay. SX 2 (wild type), SX 21 (rpoS), SX 46 (phoP), and SB 270 (fur) strains were grown in minimal EG medium to a mid-logarithmic phase of an OD600 of 0.4 ( 2 x 108 CFU/ml). The cultures were adapted at pH 4.4 for 1 h. Acid-adapted cells were washed and resuspended in an equal volume of filter-sterilized SSC. Viable counts were determined at 0, 10, and 20 min for determination of percent survival.
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1,600 mutants (34 separate pools of 47 mutants) was constructed. Each pool of mutants endured two rounds of challenge in the SSC assay for 10 min. The input and output pools were screened by Southern hybridization to identify mutants sensitive to the SSC exposure (present in the input pool but absent in the output pool). The Southern hybridization patterns revealed 18 mutants (1.13% of the mutants screened) that were either absent or greatly diminished in the output pools, thereby identifying susceptibility to SSC exposure (Table 2). In addition, one mutant (SB 126) that repeatedly exhibited a stronger hybridization signal in the output pool than the input pool was also selected for further analysis. To confirm the phenotype of the 19 mutants, each was independently challenged in the SSC assay, and a ratio of the percent survival of the mutant compared to the percent survival of the parent strain was determined (Table 2). Five of the mutants exhibited less than a 10-fold decrease in survival following SSC challenge compared to the wild-type strain (SB 116, SB 115, SB 166, SB 156, and SB 200), whereas 10 of the mutants revealed a 10- to 100-fold decrease in survival (SB 110, SB 114, SB 117, SB 105, SB 134, SB 135, SB 157, SB 162, SB 213, and SB 209). Three mutants that displayed a considerable decrease in survival in the SSC assay compared to the parent strain were SB 104 (1,912-fold), SB 113 (285-fold), and SB 130 (1,613-fold). The signature-tagged mutant that repeatedly demonstrated an obvious increase in Southern hybridization signal (SB 126) survived as well as the wild-type strain in the SSC assay. The transposon insertion sites in the 19 mutants were determined by cloning the EcoRI DNA restriction fragments (>1.8 kb) from each mutant into the pBluescript II SK vector, and the resulting plasmids from kanamycin-resistant clones were sequenced. DNA sequence similarity searches using BLAST identified 18 different genes from the 19 mutants (Table 2).
ATR of signature-tagged mutants.
Since acidic pH is a lethal component of the stomach environment, each of the signature-tagged mutants was assayed to determine its acid tolerance response. As demonstrated in Table 2, most of the mutants (16 out of the 19) displayed less than a 10-fold decrease in survival compared to the wild-type strain. SB 110, SB 134, and SB 200 were 10-fold, 17-fold, and 10-fold more sensitive to challenge in the ATR assay than the parent strain, respectively.
Serovar Typhimurium is sensitive to low pH as well as other components in the SSC.
Since a discrepancy was revealed for the importance of the genes identified by signature-tagged mutagenesis during exposure to the SSC compared to the acidic pH in the ATR assay, the role of pH in the SSC assay was examined. The wild-type serovar Typhimurium strain (SX 2) was assayed in the SSC assay at the initial pH of 3.87 as well as pHs 4.4 and 7.0 (Fig. 2). At 30 min of SSC challenge, no survival was observed for the serovar Typhimurium strain at pH 3.87. However, at 2 h postchallenge, 0.11% of the organisms survived the pH 4.4 SSC challenge and 100% survived at pH 7.0 (as well as pH 5.8; data not shown). Therefore, as the pH of the SSC increased, the survival rate of the serovar Typhimurium culture also increased, indicating a pH-dependent lethal mechanism(s) in the SSC. Bacteria challenged in E buffer at pH 3.87 (or synthetic gastric fluid at pH 3.87; see Fig. 4), where only inorganic acid stress (low pH) is present, also survived 100% at 2 h. The large difference in serovar Typhimurium survival observed between the SSC pH 3.87 and E buffer pH 3.87 challenges suggests that low pH is not the only lethal component in the swine stomach. Thus, low pH is an important component of the porcine gastric environment, but additional lethal factors also exist and appear to be low pH dependent.
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FIG. 2. Effect of pH on the survival of serovar Typhimurium in the SSC assay. Wild-type serovar Typhimurium UK1 (SX 2) was grown to a mid-log phase of an OD600 of 0.4. Following acid adaptation at pH 4.4 for 1 h, the cells were pelleted and resuspended in an equal volume of SSC at pHs 3.87, 4.4, and 7.0 (adjusted with NaOH) as well as E buffer at pH 3.87. Viable counts were determined at 0, 10, 30, 60, and 120 min for determination of percent survival.
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FIG. 4. Survival of serovar Typhimurium in synthetic gastric fluid containing lactic acid. Wild-type serovar Typhimurium UK1 (SX 2) was grown to mid-log phase, adapted at pH 4.4 for 1 h, pelleted, and resuspended in an equal volume of synthetic gastric fluid at pH 3.87 containing lactic acid at 0, 5, 10, or 20 mM. Viable counts were determined at 0, 15, 30, 60 and 90 min for determination of percent survival.
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To further characterize the SSC, successive filtration of the SSC using centricon filter units with molecular mass cutoffs of 30, 10, and 3 kDa was performed. Filtrates were generated from which proteins/peptides greater than the molecular mass cutoff of the given filter unit were excluded. The filtrate from each filter unit was used as a challenging agent in comparison to the unfiltered SSC, using a pool of several identified signature-tagged mutants (STM pool A). STM pool A exhibited the same percent survival, following challenge with all three of the SSC filtrates, as the unfiltered SSC (data not shown). Furthermore, the Southern hybridization profiles of the various signature-tagged mutants were the same following challenges in the filtered and unfiltered SSC (Fig. 3). These results suggest that a component(s) capable of passing through a 3-kDa filter unit is responsible for the pH-dependent killing effect of the SSC and that all of the mutants represented in STM pool A are sensitive to the small component(s).
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FIG. 3. Effects of SSC filtration on survival of signature-tagged mutants. The SSC was filtered consecutively through centricon centrifugal filter units with molecular mass cutoffs of 30, 10, and 3 kDa. The filtrate from each was employed to challenge mid-log-phase, pH 4.4-adapted STM pool A for 0 or 10 min. The Southern hybridization patterns of STM pool A were determined following challenge in the filtered and unfiltered SSC. STM pool A input represents the 16 mutants present prior to challenge in the SSC assay, whereas the output pools indicate the absence or presence of signature-tagged mutants following challenge. The signature-tagged mutants represented in STM pool A are as follows: A = SB 29; B = SB 271; C = SB 110; D = SB 117; E = SB 104; F = SB 116; G = SB 272; H = SB 273; I = SB 156; J = SB 126; K = SB 114; L = SB 134; M = SB 113; N = SB 135; O = SB 274; P = SB 275. The controls are indicated in the key by circling (negative) or underlining (positive) the strain designation.
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Each of the mutants presented in this study was individually assayed in the synthetic gastric fluid containing 10 mM lactic acid. Of the 19 STM mutants, only the pnp mutant (SB 130) exhibited a decrease in survival compared to the wild-type serovar Typhimurium strain (Fig. 5); a 100-fold decrease in survival was observed following 30 min of exposure and a 1,000-fold decrease at 60 min. An elevated sensitivity to lactic acid was also observed for the phoP mutant (greater than 10-fold at 30 min and 64-fold at 60 min), the rpoS mutant (greater than 1,000-fold at 30 and 60 min), and the fur mutant (greater than 100-fold at 30 and 60 min).
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FIG. 5. Survival of serovar Typhimurium mutants in synthetic gastric fluid containing 10 mM lactic acid. SX 2 (wild type), SX 21 (rpoS), SX 46 (phoP), SB 270 (fur)m and SB 130 (pnp) were grown in minimal EG medium to an OD600 of 0.4. Following acid adaptation at pH 4.4 for 1 h, the cells were washed and resuspended in an equal volume of synthetic gastric fluid containing 10 mM lactic acid. Viable counts were determined at 0, 30, and 60 min for determination of percent survival.
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To identify additional genes required for survival in the stomach, STM was employed. Upon screening of
1,600 mutants in the SSC assay, 19 were selected for further analysis, with 18 demonstrating a reduction in Southern hybridization signal in the output pools compared to the input pools and 1 mutant exhibiting an increase in signal. STM transposon insertion sites were identified in genes involved in a variety of functions, including cellular regulation and processes (barA, sopB, and traL), molecular chaperoning (dnaK), energy metabolism (dgt), transcription (pnp), and translation (usg and poxR), as well as components and enzymes associated with the cellular envelope (ynaI, manC, rfaL, and asmA) and synthesis of fimbriae (pefA and pefC), with many of these genes also involved in bacterial virulence. Furthermore, when each of the identified signature-tagged mutants was individually analyzed in the SSC and ATR assays, obvious differences in the levels of sensitivity between the assays were observed for each mutant. Thirteen of the mutants exhibited a 10-fold or greater decrease in survival during exposure to the SSC compared to the parent strain, but only three mutants showed 10-fold or more sensitivity to the pH 3.0 acidic challenge. These results suggest that, in addition to low pH, other components are present in the SSC that are harmful to Salmonella. Further evidence for this was observed when the survival of serovar Typhimurium was compared in the SSC at pH 3.87 to that in E buffer or synthetic gastric fluid at pH 3.87 (inorganic acid stress only). Within 30 min of challenge, no bacterial survival was observed in the SSC at pH 3.87, yet no decrease in survival was detected in E buffer at pH 3.87 (or synthetic gastric fluid at pH 3.87) following 2 h of challenge. On the other hand, as the pH of the swine stomach contents increased, serovar Typhimurium was able to survive over a longer period of time, indicating that low pH is an important component of the swine stomach environment, since the lethal components of the SSC are low pH dependent.
Previously identified as encoding an acid shock and macrophage-inducible protein (10, 18, 20), a signature-tagged transposon in the promoter region of dnaK resulted in elevated sensitivity in the SSC assay (31-fold) and the ATR (10-fold). As a gene encoding a molecular chaperone involved in protein refolding during stress and directing abnormal proteins to degradation (28), the identification of dnaK is not unexpected and provides validation for the STM screen. This is the first report to describe an acid-sensitive phenotype for a dnaK mutant in serovar Typhimurium and demonstrates the involvement of DnaK in the acid stress response. To our knowledge, this is also the first report to describe usg and poxR mutants having increased sensitivity to acid stress in serovar Typhimurium and rfbM/manC and ynaI mutants having elevated acid tolerance. Mutations in pnp, dgt, and asmA resulted in dramatic decreases in bacterial survival in the SSC assay but not in the ATR assay. Dgt hydrolyzes dGTP to deoxyguanosine and tripolyphosphate and can bind strongly to single-stranded DNA (46), whereas AsmA is involved in the assembly of outer membrane proteins. Mutations in asmA reduce lipopolysaccharide (LPS) levels, thereby altering membrane fluidity and allowing the assembly of mutated outer membrane proteins (17). Reduced amounts of LPS have been shown to affect both the stress tolerance and virulence of S. enterica serovar Dublin (44). The role of Pnp as a polynucleotide phosphorylase and component of the mRNA degradosome has identified it as a potential porcine vaccine candidate for Actinobacillus pleuropneumoniae (22). In E. coli, a decrease in RpoS-regulated transcripts was observed in a pnp mutant (8), including the dps gene involved in acid resistance (12). Another gene associated with RpoS that was identified in the STM screen is barA. The barA mutant exhibited a 20-fold decrease in survival during SSC challenge. In E. coli, barA mutants have decreased rpoS expression, associated with hypersensitivity to hydrogen peroxide (35). BarA is a sensor kinase that phosphorylates the response regulator SirA; this regulatory system directly increases the expression of virulence genes through regulation of the HilA regulon (containing 40 genes associated with type III secretion systems) while indirectly decreasing the expression of motility/chemotaxis genes through the FlhDC regulon (55 genes) (43). Additional genes identified in the STM analysis have previously been shown to be involved in various stages of colonization and virulence (pefA, pefC, sopB, and poxR) or LPS O-antigen synthesis (manC and rfaL), as well as encoding a macrophage-inducible protein regulated by PhoP (mig-3).
The composition of the SSC is affected by both host and environmental factors, with the possibility of multiple elements contributing to the hostile environment of the stomach, including low pH, microbial by-products, antimicrobial peptides, bacteriophage, ammonia, alpha-amylase, lipase, surfactant, pepsin, bile, weak acids, etc. Attempts to determine the component(s) responsible for the lethality of the SSC involved unsuccessfully searching for a proteinaceous factor that might be susceptible to irreversible alkaline denaturation (i.e., pepsin), heat denaturation, or filtration. Challenge of the identified signature-tagged mutants with filtrates produced from consecutive filtration of the SSC through 30-, 10-, and 3-kDa-cutoff filter units revealed similar killing effects for all three filtrates compared to the unfiltered SSC, both in overall survival of the signature-tagged mutant pool and in individual survival of each mutant (Southern hybridization patterns). These results indicate that the lethal component(s) of the SSC, which each of the mutants represented in STM pool A is sensitive to, is smaller than 3 kDa.
Further investigation of the SSC challenging agent by gas chromatography revealed a slightly elevated lactic acid concentration of 126 mM. The lactic acid concentration in the swine stomach has previously been reported to be diet dependent, associated with lactic acid-producing microorganisms in the stomach, and can vary 50-fold or more, as shown with reported gastric levels ranging from 1.6 to 77 mM (11, 31, 32, 41). Since the lactic acid concentration of the swine stomach contents from several individual pigs in this study ranged from 1 to 163 mM, survival analysis was determined for the wild-type strain of serovar Typhimurium with various concentrations of lactic acid in a synthetic gastric fluid. Bacterial survival was both concentration dependent (with little decrease in survival at 5 mM but basically no survival at 20 mM) and exposure time dependent (with bacterial survival decreasing from 16.7% at 15 min postchallenge in 10 mM lactic acid to 0.00012% at 90 min). Recently, Mikkelson et al. (32) demonstrated a correlation between the concentration of undissociated lactic acid and the death rate of serovar Typhimurium in the gastric content of swine. Since the pKa of lactic acid is approximately 3.9, the filterable, pH-dependent killing observed in the SSC assay could be a result of anion accumulation dependent on the
pH, whereby undissociated (protonated) fermentation acids can pass across the cell membrane and dissociate in the more alkaline interior of the cell, resulting in an accumulation of anionic species that can affect protein synthesis and function (38). Furthermore, dissociated weak acids cause the intracellular pH of bacteria to drop, resulting in disruption of enzymatic processes and collapse of the proton motive force.
The 19 identified signature-tagged mutants as well as mutants of rpoS, phoP, and fur were assayed in the presence of 10 mM lactic acid in the synthetic gastric fluid. Of the signature-tagged mutants, only the pnp mutant exhibited a decrease in survival compared to the parent serovar Typhimurium strain. Mutations in the rpoS, phoP, and fur genes also rendered serovar Typhimurium sensitive to lactic acid exposure. The role of these genes, whose products are involved in global mRNA synthesis (RpoS, PhoP, and Fur) and degradation (Pnp), in protection against lactic acid exposure may be multifaceted. Furthermore, since only one of the signature-tagged mutants was sensitive to the lactic acid challenge, multiple lethal components are probably present in the SSC. Further characterization of the swine stomach contents is warranted and may identify components that could serve as targets for Salmonella control.
This research was supported by USDA ARS CRIS funds.
Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.
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